Much work has been done todate to improve the response delay of rule based systems, specially through the parallelization of the inference mechanism. In this paper, we present a novel approach founded on an evolutionnary computing in a rule based system (RBS). Our aim is to deal with the problem of parallel computation of a RBS in a distributed evolving environment, tightly coupled with the problem of dynamic load balancing by the mean of a self organizationnal approach.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.